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Donald Rubin
1 the University of Chicago the Harris School of Public
Donald Rubin Three-Day Course in Causality 5 to 7 February 2020 At
Theory with Applications to Voting and Deliberation Experiments!
Arxiv:1805.08845V4 [Stat.ML] 10 Jul 2021 Outcomes Such As Images, Sequences, and Graphs
The Neyman-Rubin Model of Causal Inference and Estimation Via Matching Methods∗
To Adjust Or Not to Adjust? Sensitivity Analysis of M-Bias and Butterfly-Bias
1 the University of Chicago the Harris School of Public
Causality Causality Refers to the Relationship
Donald Rubin∗ Andrew Gelman† 3 Oct 2017
ASA 1999 JSM Teaching Causal Inference Dr. Donald Rubin in Experiments and Observational Studies
^^.^-3 Causal Diagrams for Empirical Research C^-J-H Di^^I^)
Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics∗
Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives an Essential Journey with Donald Rubin’S Statistical Family
Observational Studies”: Looking Backward and Looking Forward
Predictive Model Interpretation Via Causal Attribution
Curriculum Vitae Andrew Gelman
Curriculum Vitae October 2014 DONALD B. RUBIN University John
Sophie Langenskiold AKADEMISK AVHANDLING
Top View
Causality: Rubin (1974)
The State of Applied Econometrics
Bias and High-Dimensional Adjustment in Observational Studies of Peer Effects∗
1 Ten Statisticians and Their Impacts Daniel B. Wright Ten Statisticians
Curriculum Vitae August 2017 DONALD
Causal Inference
Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics Arxiv:1907.0
Inferring Causality Through Counterfactuals in Observational Studies Some Epistemological Issues